iPhone 16 Pro Max
Geekbench AI Score
4451
Single Precision Score
7674
Half Precision Score
6076
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | rydawg |
| Upload Date | June 11 2025 01:25 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| Model | iPhone 16 Pro Max |
| Model ID | iPhone17,2 |
| Motherboard | D94AP |
| CPU Information | |
|---|---|
| Name | Apple A18 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2053
381.8 IPS |
|
|
Image Classification (HP)
|
100% |
3405
633.2 IPS |
|
|
Image Classification (Q)
|
96% |
2264
422.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1938
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2861
46.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3323
53.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9064
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
17950
20.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
14310
16.8 IPS |
|
|
Object Detection (SP)
|
100% |
2257
179.0 IPS |
|
|
Object Detection (HP)
|
97% |
3363
267.8 IPS |
|
|
Object Detection (Q)
|
94% |
2584
206.0 IPS |
|
|
Face Detection (SP)
|
100% |
3798
45.1 IPS |
|
|
Face Detection (HP)
|
100% |
7361
87.5 IPS |
|
|
Face Detection (Q)
|
100% |
4029
47.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7799
60.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
13964
107.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9554
74.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17056
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
36692
47.2 IPS |
|
|
Style Transfer (Q)
|
96% |
29720
38.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5214
192.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7353
271.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5056
186.7 IPS |
|
|
Text Classification (SP)
|
100% |
3441
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
6089
8.13 KIPS |
|
|
Text Classification (Q)
|
93% |
6050
8.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
4145
71.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7135
123.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7049
121.8 IPS |
